HCI-LAB-UGSPEECHDATA/speech_data_ghana_ug

The dataset comprises of 5000 hours speech corpus in Akan, Ewe, Dagbani, Daagare, and Ikposo. Each language includes 1000 hours of audio speech from indigenous speakers of the language. Of which 100 hours is transcribed.

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This collection provides 5,000 hours of spoken audio from indigenous Ghanaian speakers across five languages: Akan, Ewe, Dagbani, Dagaare, and Ikposo. It includes both raw audio and 100 hours of transcribed speech for each language, along with metadata about speakers and recording conditions. Researchers and linguists working on speech recognition, language documentation, or natural language processing for these specific Ghanaian languages would find this valuable.

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Use this if you need a substantial, well-documented dataset of spoken audio and some transcriptions for Ghanaian languages to train speech models or conduct linguistic research.

Not ideal if you require full transcriptions for all 5,000 hours of audio or if your focus is on languages not included in this collection.

speech-recognition linguistics language-modeling african-languages audio-analysis
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

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Last pushed

May 02, 2025

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